Ni'Matul Rochmaniyah, Utomo Pujianto
Illiteracy is one of the problems for the Indonesian government that needs serious attention. A number of factors contributing to the high rate of illiteracy include unequal population spread and uneven distribution of teachers between urban and rural areas. One of the efforts made by the government to overcome the problem is by using a block system. However, the weakness of this system is that it takes a long time and also a huge cost. The solution provided to minimize the weakness of the system is to group regions with high and low illiteracy levels to form a group of data with the same characteristics. In this research, the clustering process is done by using Fuzzy C-Means algorithm. The attributes used are the number of illiterate population, the total population, the number of poor people, the number of schools that have libraries, the number of community learning centers and the number of people who can not speak Indonesian. The experimental results have shown that these attributes have patterns that are identical to the pattern of cluster formation of illiterate population in an area. © 2017 IEEE.
Electrical Engineering Department, Universitas Negeri Malang, Malang, Indonesia
